Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1150981 | Statistical Methodology | 2011 | 16 Pages |
Abstract
The maximum likelihood (ML) and uniformly minimum variance unbiased estimators (UMVUE) of the probability density function (pdf), cumulative distribution function (cdf) and rrth moment are derived for the Pareto distribution in the presence of outliers. It has been shown that MLE of pdf and cdf are better than their UMVUEs. At the end, these methods are illustrated with the help of real data from an insurance company.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
U.J. Dixit, M. Jabbari Nooghabi,